TAMGA INFRASTRUCTURE / CACHE

Tamga Semantic Cache

An intelligent cache layer that matches semantically similar requests with suitable previous responses instead of running the model again.

01 / TEMEL KAVRAM

What is Semantic Cache?

An incoming query is evaluated by meaning, not only by exact text. When a sufficiently similar and valid result exists, the cached response is used instead of making another model call.

This approach can reduce latency and cost for repeated support questions, product information, documentation answers, and high-volume AI applications.

02 / FLOW

Works in three stages

01

Understands intent

The request is converted into a numerical representation for semantic comparison.

02

Measures similarity

Valid cache entries are searched to find the closest semantic match.

03

Routes the response

If the threshold is met, the stored response is returned; otherwise the selected AI model runs.

%50 potential savings on repeated requests

03 / BENEFIT

Less waiting, more controlled cost

Cache hits reduce model token costs and response time. Similarity threshold, validity period, and scope can be shaped around application needs.

This page is an early product overview prototype; technical details will be expanded as development continues.

Start building with Tamga infrastructure

Access models with one API key and scale your application.

Create Account